Open AccessAgent-based modeling for understanding social intelligence
Author(s) -
Rosaria Conte
Publication year - 2002
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.072078999
Subject(s) - rationality , adaptability , computer science , social intelligence , session (web analytics) , artificial intelligence , cognitive science , data science , management science , psychology , epistemology , social psychology , engineering , world wide web , philosophy , ecology , biology
The advantages of agent-based modeling for a general theory of intelligence at the individual and social level are emphasized over other existing approaches mainly relying on rationality theories. As was pointed out during the National Academy of Sciences Sackler Colloquium session "Implications of Agent-Based Modeling for Understanding Human Rationality and Learning," held in October 2001, properties of social intelligent agents include adaptability and learning capacity, as well as the capacity to produce and employ artifacts and manipulate symbols.